Dataset statistics
| Number of variables | 16 |
|---|---|
| Number of observations | 1836 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 217.2 KiB |
| Average record size in memory | 121.1 B |
Variable types
| DateTime | 1 |
|---|---|
| Categorical | 4 |
| Numeric | 11 |
username has constant value "Benioff" | Constant |
cashtags has constant value "0" | Constant |
tweet has a high cardinality: 1836 distinct values | High cardinality |
mentions is highly correlated with number of tweets | High correlation |
video is highly correlated with photos and 1 other fields | High correlation |
photos is highly correlated with video | High correlation |
urls is highly correlated with number of tweets | High correlation |
replies_count is highly correlated with retweets_count and 1 other fields | High correlation |
retweets_count is highly correlated with replies_count and 1 other fields | High correlation |
likes_count is highly correlated with replies_count and 1 other fields | High correlation |
number of tweets is highly correlated with mentions and 2 other fields | High correlation |
mentions is highly correlated with number of tweets | High correlation |
video is highly correlated with photos and 1 other fields | High correlation |
photos is highly correlated with video | High correlation |
urls is highly correlated with number of tweets | High correlation |
replies_count is highly correlated with retweets_count and 2 other fields | High correlation |
retweets_count is highly correlated with replies_count and 2 other fields | High correlation |
likes_count is highly correlated with replies_count and 2 other fields | High correlation |
number of tweets is highly correlated with mentions and 5 other fields | High correlation |
video is highly correlated with photos | High correlation |
photos is highly correlated with video | High correlation |
urls is highly correlated with number of tweets | High correlation |
replies_count is highly correlated with retweets_count and 1 other fields | High correlation |
retweets_count is highly correlated with replies_count and 1 other fields | High correlation |
likes_count is highly correlated with replies_count and 1 other fields | High correlation |
number of tweets is highly correlated with urls | High correlation |
urls is highly correlated with mentions and 1 other fields | High correlation |
replies_count is highly correlated with retweets_count and 1 other fields | High correlation |
video is highly correlated with photos and 1 other fields | High correlation |
mentions is highly correlated with urls and 2 other fields | High correlation |
retweets_count is highly correlated with replies_count and 1 other fields | High correlation |
photos is highly correlated with video and 2 other fields | High correlation |
bins is highly correlated with percent change | High correlation |
number of tweets is highly correlated with urls and 3 other fields | High correlation |
likes_count is highly correlated with replies_count and 1 other fields | High correlation |
percent change is highly correlated with bins | High correlation |
cashtags is highly correlated with bins and 1 other fields | High correlation |
bins is highly correlated with cashtags and 1 other fields | High correlation |
username is highly correlated with cashtags and 1 other fields | High correlation |
tweet is uniformly distributed | Uniform |
date has unique values | Unique |
tweet has unique values | Unique |
mentions has 572 (31.2%) zeros | Zeros |
hashtags has 1582 (86.2%) zeros | Zeros |
video has 698 (38.0%) zeros | Zeros |
photos has 819 (44.6%) zeros | Zeros |
urls has 511 (27.8%) zeros | Zeros |
replies_count has 50 (2.7%) zeros | Zeros |
retweets_count has 28 (1.5%) zeros | Zeros |
percent change has 19 (1.0%) zeros | Zeros |
Reproduction
| Analysis started | 2021-09-27 19:03:51.187263 |
|---|---|
| Analysis finished | 2021-09-27 19:04:08.436977 |
| Duration | 17.25 seconds |
| Software version | pandas-profiling v3.0.0 |
| Download configuration | config.json |
| Distinct | 1836 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 14.5 KiB |
| Minimum | 2016-08-23 09:30:00 |
|---|---|
| Maximum | 2021-05-28 09:30:00 |
| Distinct | 1836 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 14.5 KiB |
| All docs, code, & packing of the Atari games I wrote at 16 &17 to put myself through @USC! https://t.co/dNVx6vtTwr https://t.co/O7vXYPWX1O | 1 |
|---|---|
| Who would have thought we could raise $11M+ in one concert for @UCSFChildrens @UCSFBenioffOAK. $81M raising since 2010. Thank you Ohana!!! We love you so much!❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ https://t.co/mn8grAeELb | 1 |
| Dreamforce. 27 Keynote Soeakers. 2700 Sessions. 171,000 attendees. 13,000,000 online. 2M Trailblazers. Tim Cook. President Barack Obama. Mother of Dragons Emilia Clark. Megan Rapinoe. Fleetwood Mac. Thich Nhat Hahn Monastics. Deepak Chopra. Customer 360. Tableau. & Much More. https://t.co/IpXxC6frzw Dreamforce 2019 #DF19 https://t.co/faEVnJTxin Parker’s live behind the scenes tour of Dreamforce! https://t.co/smzDPnMUZK See the Free Mural @SFMOMA. “The mural, which @JRart calls a living painting, has more than 1200 people, incl local leaders @GavinNewsom, @CleveJones1, @Warriors @Money23Green, + members of the San Francisco Gay Men’s Chorus (@SFGMC)." -@hyperallergic https://t.co/bLym3gdqDF Calming down with the @thichnhathanh Monastics before Dreamforce. DF Attendees book a session with the Monastics on the Dreamforce App & learn how to meditate & breath. Excited to have the Monastics back for the 5th year! We even built a mini @plumvillageom this year!☮️ https://t.co/NaWeneorjX | 1 |
| Even if you aren’t at Dreamforce in person this year, you can watch and participate online. Tap “Set Reminder” below to get notified when the keynote starts and watch live! https://t.co/LpYULckps9 All of us need to give the Warriors a hand during these times. ❤️🏀 https://t.co/415erypha0 | 1 |
| Dreamforce. 27 Keynote Soeakers. 2700 Sessions. 171,000 attendees. 13,000,000 online. 2M Trailblazers. Tim Cook. President Barack Obama. Mother of Dragons Emilia Clark. Megan Rapinoe. Fleetwood Mac. Thich Nhat Hahn Monastics. Deepak Chopra. Customer 360. Tableau. & Much More. https://t.co/BgRYWLLqLh | 1 |
| Other values (1831) |
Length
| Max length | 4908 |
|---|---|
| Median length | 293 |
| Mean length | 450.672658 |
| Min length | 11 |
Characters and Unicode
| Total characters | 827435 |
|---|---|
| Distinct characters | 304 |
| Distinct categories | 20 ? |
| Distinct scripts | 5 ? |
| Distinct blocks | 18 ? |
Unique
| Unique | 1836 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | All docs, code, & packing of the Atari games I wrote at 16 &17 to put myself through @USC! https://t.co/dNVx6vtTwr https://t.co/O7vXYPWX1O |
|---|---|
| 2nd row | Congratulations @Salesforce 6 years as one of The World's Most Innovative Companies - Forbes - This year #2! https://t.co/YvyXpclp7B Incredible to be at @plumvillageom. Such a magical place. https://t.co/evqaDhPDHA Wonderful to be with Zen Master @thichnhathanh in @plumvillageom --incredible rebirth of health strength & energy. https://t.co/SPvrJjbdPU Thank you @alexrkonrad Welcome Salesforce Einstein---1st comprehensive AI platform for CRM. https://t.co/MrUk3m4SlV https://t.co/4qz6CXphOn All of my thoughts and prayers are with the people of Italy. May all the residents be protected and safe. Gd Bless. https://t.co/hefc0Fllng To all the friends of @thichnhathanh: I met with the venerable mindfulness teacher today and he was as strong & capable as I have seen him. Salesforce has issued its stakeholder report. We need feedback from all stakeholders on how to move forward. https://t.co/1MOiSl7Jml |
| 3rd row | "Would it be such a bad thing if doing business to change the world became the new normal?" @PledgeOne https://t.co/X2ZN72WdGU Thank you @greentechlady for writing in @FortuneMagazine on @PledgeOne and our 1-1-1 model. https://t.co/kgF8C6TU8R Wonderful to take three days of mindfulness with @thichnhathanh and the monastics at @plumvillageom. Coming home. https://t.co/LyiY521IxZ Thank you @greentechlady and @FortuneMagazine for introducing Salesforce Einstein. https://t.co/tr4V0Dd3fq Thank you @POTUS @McCauley_Lab @SenBrianSchatz @OceanElders for expanding #Papahanaumokuakea! https://t.co/EJAKhANQhq Mahalo Malama Aina! |
| 4th row | Thank you @Lilly_Ledbetter! https://t.co/expO7Ti9RQ #WomensEqualityDay Thank you @PattyArquette! |
| 5th row | Wake up call from @PMaurerICRC ceo @ICRC now 65M refugees/24 new refugees every minute. How can we help them? https://t.co/OQAgzJKJau Very excited to get to @Dreamforce and reveal our vision for Einstein---our trusted comprehensive AI platform. https://t.co/ndUhNN9xxx |
Common Values
| Value | Count | Frequency (%) |
| All docs, code, & packing of the Atari games I wrote at 16 &17 to put myself through @USC! https://t.co/dNVx6vtTwr https://t.co/O7vXYPWX1O | 1 | 0.1% |
| Who would have thought we could raise $11M+ in one concert for @UCSFChildrens @UCSFBenioffOAK. $81M raising since 2010. Thank you Ohana!!! We love you so much!❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ https://t.co/mn8grAeELb | 1 | 0.1% |
| Dreamforce. 27 Keynote Soeakers. 2700 Sessions. 171,000 attendees. 13,000,000 online. 2M Trailblazers. Tim Cook. President Barack Obama. Mother of Dragons Emilia Clark. Megan Rapinoe. Fleetwood Mac. Thich Nhat Hahn Monastics. Deepak Chopra. Customer 360. Tableau. & Much More. https://t.co/IpXxC6frzw Dreamforce 2019 #DF19 https://t.co/faEVnJTxin Parker’s live behind the scenes tour of Dreamforce! https://t.co/smzDPnMUZK See the Free Mural @SFMOMA. “The mural, which @JRart calls a living painting, has more than 1200 people, incl local leaders @GavinNewsom, @CleveJones1, @Warriors @Money23Green, + members of the San Francisco Gay Men’s Chorus (@SFGMC)." -@hyperallergic https://t.co/bLym3gdqDF Calming down with the @thichnhathanh Monastics before Dreamforce. DF Attendees book a session with the Monastics on the Dreamforce App & learn how to meditate & breath. Excited to have the Monastics back for the 5th year! We even built a mini @plumvillageom this year!☮️ https://t.co/NaWeneorjX | 1 | 0.1% |
| Even if you aren’t at Dreamforce in person this year, you can watch and participate online. Tap “Set Reminder” below to get notified when the keynote starts and watch live! https://t.co/LpYULckps9 All of us need to give the Warriors a hand during these times. ❤️🏀 https://t.co/415erypha0 | 1 | 0.1% |
| Dreamforce. 27 Keynote Soeakers. 2700 Sessions. 171,000 attendees. 13,000,000 online. 2M Trailblazers. Tim Cook. President Barack Obama. Mother of Dragons Emilia Clark. Megan Rapinoe. Fleetwood Mac. Thich Nhat Hahn Monastics. Deepak Chopra. Customer 360. Tableau. & Much More. https://t.co/BgRYWLLqLh | 1 | 0.1% |
| Dreamforce. 27 Keynote Soeakers. 2700 Sessions. 171,000 attendees. 13,000,000 online. 2M Trailblazers. Tim Cook. President Barack Obama. Mother of Dragons Emilia Clark. Megan Rapinoe. Fleetwood Mac. Thich Nhat Hahn Monastics. Deepak Chopra. Customer 360. Tableau. & Much More. https://t.co/AM7s2viPxk Salesforce Tower Tonight. Photo Credit: L.Kessler https://t.co/6pq2vX2yJ1 | 1 | 0.1% |
| Riveting @maggierogers at the Time 100 Next! https://t.co/ab5a0uTdms Dreamforce. 27 Keynote Soeakers. 2700 Sessions. 171,000 attendees. 13,000,000 online. 2M Trailblazers. Tim Cook. President Barack Obama. Mother of Dragons Emilia Clark. Megan Rapinoe. Fleetwood Mac. Thich Nhat Hahn Monastics. Deepak Chopra. Customer 360. Tableau. & Much More. https://t.co/R05cUHc8dR | 1 | 0.1% |
| Thank you Andrew! ❤️ @andrewrsorkin https://t.co/00iaffMoZq | 1 | 0.1% |
| Dreamforce. 27 Keynote Soeakers. 2200 Sessions. 150,000 attendees. 10,000,000 online. 2M Trailblazers. Fleetwood Mac. https://t.co/R6OEd3osZ3 Once again @TeamTime crushes it with Time 100 Next. So proud of them! ⚡️ #TIME100Next: Spotlighting 100 rising stars who are shaping the future of their fields. https://t.co/QCZxuixm19 | 1 | 0.1% |
| I am with my #datafam at the one and only @tableau conference! Amazing energy. https://t.co/1Vb3RZIKE4 Join us! @awscloud, @Genesys, & Salesforce come together with @linuxfoundation to standardize interoperability across cloud apps. Thanks @btaylor for your leadership! All partners welcome to join the open source CIM. https://t.co/bgMXARPRs4 | 1 | 0.1% |
| Other values (1826) | 1826 |
Length
| Value | Count | Frequency (%) |
| the | 4608 | 3.9% |
| to | 3555 | 3.0% |
| of | 2496 | 2.1% |
| amp | 1979 | 1.7% |
| for | 1853 | 1.6% |
| a | 1776 | 1.5% |
| in | 1690 | 1.4% |
| and | 1580 | 1.3% |
| is | 1343 | 1.1% |
| you | 1276 | 1.1% |
| Other values (16693) | 96710 |
Most occurring characters
| Value | Count | Frequency (%) |
| 125395 | ||
| e | 63236 | 7.6% |
| t | 55133 | 6.7% |
| o | 50153 | 6.1% |
| a | 45824 | 5.5% |
| s | 39915 | 4.8% |
| i | 37568 | 4.5% |
| n | 36786 | 4.4% |
| r | 35987 | 4.3% |
| h | 26722 | 3.2% |
| Other values (294) | 310716 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 574769 | |
| Space Separator | 125443 | 15.2% |
| Uppercase Letter | 54981 | 6.6% |
| Other Punctuation | 47830 | 5.8% |
| Decimal Number | 17057 | 2.1% |
| Final Punctuation | 1477 | 0.2% |
| Other Symbol | 1333 | 0.2% |
| Dash Punctuation | 1158 | 0.1% |
| Format | 916 | 0.1% |
| Currency Symbol | 572 | 0.1% |
| Other values (10) | 1899 | 0.2% |
Most frequent character per category
Other Symbol
| Value | Count | Frequency (%) |
| ❤ | 490 | |
| 😷 | 86 | 6.5% |
| 🇸 | 39 | 2.9% |
| 🇺 | 35 | 2.6% |
| 🗽 | 34 | 2.6% |
| 👍 | 31 | 2.3% |
| 🌲 | 29 | 2.2% |
| 🇮 | 25 | 1.9% |
| 🇳 | 24 | 1.8% |
| 🇵 | 18 | 1.4% |
| Other values (170) | 522 |
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 63236 | 11.0% |
| t | 55133 | 9.6% |
| o | 50153 | 8.7% |
| a | 45824 | 8.0% |
| s | 39915 | 6.9% |
| i | 37568 | 6.5% |
| n | 36786 | 6.4% |
| r | 35987 | 6.3% |
| h | 26722 | 4.6% |
| l | 24463 | 4.3% |
| Other values (20) | 158982 |
Uppercase Letter
| Value | Count | Frequency (%) |
| T | 4475 | 8.1% |
| S | 4423 | 8.0% |
| C | 3652 | 6.6% |
| I | 2957 | 5.4% |
| A | 2843 | 5.2% |
| M | 2811 | 5.1% |
| W | 2439 | 4.4% |
| F | 2387 | 4.3% |
| O | 2374 | 4.3% |
| P | 2233 | 4.1% |
| Other values (17) | 24387 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 14233 | |
| . | 12380 | |
| : | 5197 | 10.9% |
| @ | 4944 | 10.3% |
| , | 2978 | 6.2% |
| ! | 2207 | 4.6% |
| ; | 2048 | 4.3% |
| & | 2025 | 4.2% |
| # | 536 | 1.1% |
| ' | 465 | 1.0% |
| Other values (9) | 817 | 1.7% |
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 3309 | |
| 1 | 2906 | |
| 2 | 2212 | |
| 5 | 1444 | |
| 4 | 1294 | 7.6% |
| 3 | 1262 | 7.4% |
| 9 | 1257 | 7.4% |
| 7 | 1206 | 7.1% |
| 8 | 1099 | 6.4% |
| 6 | 1067 | 6.3% |
Math Symbol
| Value | Count | Frequency (%) |
| + | 36 | |
| = | 30 | |
| | | 13 | 16.0% |
| ~ | 1 | 1.2% |
| → | 1 | 1.2% |
Format
| Value | Count | Frequency (%) |
| | 394 | |
| | 359 | |
| | 146 | 15.9% |
| | 15 | 1.6% |
| | 2 | 0.2% |
Space Separator
| Value | Count | Frequency (%) |
| 125395 | ||
| 46 | < 0.1% | |
| 1 | < 0.1% | |
| 1 | < 0.1% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 865 | |
| — | 273 | 23.6% |
| – | 20 | 1.7% |
Currency Symbol
| Value | Count | Frequency (%) |
| $ | 570 | |
| £ | 1 | 0.2% |
| ₹ | 1 | 0.2% |
Connector Punctuation
| Value | Count | Frequency (%) |
| _ | 335 | |
| _ | 11 | 3.2% |
Final Punctuation
| Value | Count | Frequency (%) |
| ’ | 1079 | |
| ” | 398 | 26.9% |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 220 | |
| ] | 6 | 2.7% |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 177 | |
| [ | 6 | 3.3% |
Initial Punctuation
| Value | Count | Frequency (%) |
| “ | 426 | |
| ‘ | 13 | 3.0% |
Modifier Symbol
| Value | Count | Frequency (%) |
|  ̄ | 11 | |
| 🏽 | 11 |
Other Letter
| Value | Count | Frequency (%) |
| ㅅ | 1 | |
| づ | 1 |
Nonspacing Mark
| Value | Count | Frequency (%) |
| ️ | 569 |
Modifier Letter
| Value | Count | Frequency (%) |
| ʻ | 1 |
Control
| Value | Count | Frequency (%) |
| 30 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 629750 | |
| Common | 197099 | 23.8% |
| Inherited | 584 | 0.1% |
| Hangul | 1 | < 0.1% |
| Hiragana | 1 | < 0.1% |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 125395 | ||
| / | 14233 | 7.2% |
| . | 12380 | 6.3% |
| : | 5197 | 2.6% |
| @ | 4944 | 2.5% |
| 0 | 3309 | 1.7% |
| , | 2978 | 1.5% |
| 1 | 2906 | 1.5% |
| 2 | 2212 | 1.1% |
| ! | 2207 | 1.1% |
| Other values (233) | 21338 | 10.8% |
Latin
| Value | Count | Frequency (%) |
| e | 63236 | 10.0% |
| t | 55133 | 8.8% |
| o | 50153 | 8.0% |
| a | 45824 | 7.3% |
| s | 39915 | 6.3% |
| i | 37568 | 6.0% |
| n | 36786 | 5.8% |
| r | 35987 | 5.7% |
| h | 26722 | 4.2% |
| l | 24463 | 3.9% |
| Other values (47) | 213963 |
Inherited
| Value | Count | Frequency (%) |
| ️ | 569 | |
| | 15 | 2.6% |
Hangul
| Value | Count | Frequency (%) |
| ㅅ | 1 |
Hiragana
| Value | Count | Frequency (%) |
| づ | 1 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 822285 | |
| Punctuation | 3007 | 0.4% |
| VS | 569 | 0.1% |
| Dingbats | 537 | 0.1% |
| None | 423 | 0.1% |
| Enclosed Alphanum Sup | 221 | < 0.1% |
| Latin 1 Sup | 199 | < 0.1% |
| Emoticons | 127 | < 0.1% |
| Misc Symbols | 53 | < 0.1% |
| Misc Technical | 4 | < 0.1% |
| Other values (8) | 10 | < 0.1% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 125395 | ||
| e | 63236 | 7.7% |
| t | 55133 | 6.7% |
| o | 50153 | 6.1% |
| a | 45824 | 5.6% |
| s | 39915 | 4.9% |
| i | 37568 | 4.6% |
| n | 36786 | 4.5% |
| r | 35987 | 4.4% |
| h | 26722 | 3.2% |
| Other values (80) | 305566 |
Punctuation
| Value | Count | Frequency (%) |
| ’ | 1079 | |
| “ | 426 | 14.2% |
| ” | 398 | 13.2% |
| | 394 | 13.1% |
| | 359 | 11.9% |
| — | 273 | 9.1% |
| – | 20 | 0.7% |
| … | 20 | 0.7% |
| | 15 | 0.5% |
| ‘ | 13 | 0.4% |
| Other values (5) | 10 | 0.3% |
Enclosed Alphanum Sup
| Value | Count | Frequency (%) |
| 🇸 | 39 | |
| 🇺 | 35 | |
| 🇮 | 25 | |
| 🇳 | 24 | |
| 🇵 | 18 | |
| 🇯 | 14 | 6.3% |
| 🇬 | 11 | 5.0% |
| 🇫 | 11 | 5.0% |
| 🇷 | 8 | 3.6% |
| 🇻 | 7 | 3.2% |
| Other values (10) | 29 |
Dingbats
| Value | Count | Frequency (%) |
| ❤ | 490 | |
| ❌ | 13 | 2.4% |
| ✂ | 9 | 1.7% |
| ➡ | 6 | 1.1% |
| ✅ | 5 | 0.9% |
| ✓ | 4 | 0.7% |
| ✈ | 3 | 0.6% |
| ✌ | 2 | 0.4% |
| ✔ | 2 | 0.4% |
| ✨ | 2 | 0.4% |
VS
| Value | Count | Frequency (%) |
| ️ | 569 |
None
| Value | Count | Frequency (%) |
| 🗽 | 34 | 8.0% |
| 👍 | 31 | 7.3% |
| 🌲 | 29 | 6.9% |
| 👽 | 17 | 4.0% |
| 🤘 | 16 | 3.8% |
|  ̄ | 11 | 2.6% |
| _ | 11 | 2.6% |
| 🏽 | 11 | 2.6% |
| 💻 | 11 | 2.6% |
| 👩 | 11 | 2.6% |
| Other values (112) | 241 |
Misc Symbols
| Value | Count | Frequency (%) |
| ⚒ | 13 | |
| ⚔ | 8 | |
| ⚡ | 6 | |
| ♥ | 4 | 7.5% |
| ♠ | 3 | 5.7% |
| ♣ | 3 | 5.7% |
| ♦ | 3 | 5.7% |
| ☁ | 3 | 5.7% |
| ☀ | 3 | 5.7% |
| ☮ | 2 | 3.8% |
| Other values (4) | 5 | 9.4% |
Latin 1 Sup
| Value | Count | Frequency (%) |
| | 146 | |
| 46 | 23.1% | |
| ç | 2 | 1.0% |
| Ì | 2 | 1.0% |
| á | 1 | 0.5% |
| £ | 1 | 0.5% |
| ° | 1 | 0.5% |
Letterlike Symbols
| Value | Count | Frequency (%) |
| ™ | 1 |
Emoticons
| Value | Count | Frequency (%) |
| 😷 | 86 | |
| 🙏 | 11 | 8.7% |
| 😂 | 10 | 7.9% |
| 😇 | 7 | 5.5% |
| 😎 | 6 | 4.7% |
| 😱 | 2 | 1.6% |
| 🙀 | 1 | 0.8% |
| 😘 | 1 | 0.8% |
| 🙌 | 1 | 0.8% |
| 😜 | 1 | 0.8% |
Latin Ext A
| Value | Count | Frequency (%) |
| ā | 2 | |
| ū | 1 |
Modifier Letters
| Value | Count | Frequency (%) |
| ʻ | 1 |
Compat Jamo
| Value | Count | Frequency (%) |
| ㅅ | 1 |
Hiragana
| Value | Count | Frequency (%) |
| づ | 1 |
Arrows
| Value | Count | Frequency (%) |
| → | 1 |
Misc Technical
| Value | Count | Frequency (%) |
| ⏩ | 1 | |
| ⏭ | 1 | |
| ⏰ | 1 | |
| ⏱ | 1 |
Math Alphanum
| Value | Count | Frequency (%) |
| 𝟬 | 1 |
Currency Symbols
| Value | Count | Frequency (%) |
| ₹ | 1 |
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 14.5 KiB |
| Benioff |
|---|
Length
| Max length | 7 |
|---|---|
| Median length | 7 |
| Mean length | 7 |
| Min length | 7 |
Characters and Unicode
| Total characters | 12852 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Benioff |
|---|---|
| 2nd row | Benioff |
| 3rd row | Benioff |
| 4th row | Benioff |
| 5th row | Benioff |
Common Values
| Value | Count | Frequency (%) |
| Benioff | 1836 |
Length
Pie chart
| Value | Count | Frequency (%) |
| benioff | 1836 |
Most occurring characters
| Value | Count | Frequency (%) |
| f | 3672 | |
| B | 1836 | |
| e | 1836 | |
| n | 1836 | |
| i | 1836 | |
| o | 1836 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 11016 | |
| Uppercase Letter | 1836 | 14.3% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| f | 3672 | |
| e | 1836 | |
| n | 1836 | |
| i | 1836 | |
| o | 1836 |
Uppercase Letter
| Value | Count | Frequency (%) |
| B | 1836 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 12852 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| f | 3672 | |
| B | 1836 | |
| e | 1836 | |
| n | 1836 | |
| i | 1836 | |
| o | 1836 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 12852 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| f | 3672 | |
| B | 1836 | |
| e | 1836 | |
| n | 1836 | |
| i | 1836 | |
| o | 1836 |
| Distinct | 22 |
|---|---|
| Distinct (%) | 1.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.089869281 |
| Minimum | 0 |
|---|---|
| Maximum | 36 |
| Zeros | 572 |
| Zeros (%) | 31.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 14.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 3 |
| 95-th percentile | 7 |
| Maximum | 36 |
| Range | 36 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.793352519 |
|---|---|
| Coefficient of variation (CV) | 1.336615904 |
| Kurtosis | 22.63772032 |
| Mean | 2.089869281 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 3.470487506 |
| Sum | 3837 |
| Variance | 7.802818294 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 0 | 572 | |
| 1 | 435 | |
| 2 | 292 | |
| 3 | 174 | 9.5% |
| 4 | 126 | 6.9% |
| 5 | 82 | 4.5% |
| 6 | 48 | 2.6% |
| 7 | 27 | 1.5% |
| 8 | 25 | 1.4% |
| 9 | 16 | 0.9% |
| Other values (12) | 39 | 2.1% |
| Value | Count | Frequency (%) |
| 0 | 572 | |
| 1 | 435 | |
| 2 | 292 | |
| 3 | 174 | 9.5% |
| 4 | 126 | 6.9% |
| 5 | 82 | 4.5% |
| 6 | 48 | 2.6% |
| 7 | 27 | 1.5% |
| 8 | 25 | 1.4% |
| 9 | 16 | 0.9% |
| Value | Count | Frequency (%) |
| 36 | 1 | 0.1% |
| 27 | 1 | 0.1% |
| 24 | 1 | 0.1% |
| 19 | 2 | 0.1% |
| 18 | 3 | |
| 17 | 2 | 0.1% |
| 16 | 2 | 0.1% |
| 15 | 4 | |
| 13 | 2 | 0.1% |
| 12 | 6 |
| Distinct | 8 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.197167756 |
| Minimum | 0 |
|---|---|
| Maximum | 7 |
| Zeros | 1582 |
| Zeros (%) | 86.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 14.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 1 |
| Maximum | 7 |
| Range | 7 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.5787448941 |
|---|---|
| Coefficient of variation (CV) | 2.935291784 |
| Kurtosis | 26.07480635 |
| Mean | 0.197167756 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 4.228184394 |
| Sum | 362 |
| Variance | 0.3349456525 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 0 | 1582 | |
| 1 | 178 | 9.7% |
| 2 | 56 | 3.1% |
| 3 | 14 | 0.8% |
| 4 | 3 | 0.2% |
| 5 | 1 | 0.1% |
| 7 | 1 | 0.1% |
| 6 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 0 | 1582 | |
| 1 | 178 | 9.7% |
| 2 | 56 | 3.1% |
| 3 | 14 | 0.8% |
| 4 | 3 | 0.2% |
| 5 | 1 | 0.1% |
| 6 | 1 | 0.1% |
| 7 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 7 | 1 | 0.1% |
| 6 | 1 | 0.1% |
| 5 | 1 | 0.1% |
| 4 | 3 | 0.2% |
| 3 | 14 | 0.8% |
| 2 | 56 | 3.1% |
| 1 | 178 | 9.7% |
| 0 | 1582 |
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 14.5 KiB |
| 0 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1836 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1836 |
Length
Pie chart
| Value | Count | Frequency (%) |
| 0 | 1836 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1836 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1836 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1836 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1836 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1836 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1836 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1836 |
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.088779956 |
| Minimum | 0 |
|---|---|
| Maximum | 9 |
| Zeros | 698 |
| Zeros (%) | 38.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 14.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 4 |
| Maximum | 9 |
| Range | 9 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.271041725 |
|---|---|
| Coefficient of variation (CV) | 1.167400003 |
| Kurtosis | 4.865854915 |
| Mean | 1.088779956 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.844915635 |
| Sum | 1999 |
| Variance | 1.615547067 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 0 | 698 | |
| 1 | 667 | |
| 2 | 260 | 14.2% |
| 3 | 114 | 6.2% |
| 4 | 52 | 2.8% |
| 5 | 22 | 1.2% |
| 6 | 15 | 0.8% |
| 7 | 4 | 0.2% |
| 9 | 2 | 0.1% |
| 8 | 2 | 0.1% |
| Value | Count | Frequency (%) |
| 0 | 698 | |
| 1 | 667 | |
| 2 | 260 | 14.2% |
| 3 | 114 | 6.2% |
| 4 | 52 | 2.8% |
| 5 | 22 | 1.2% |
| 6 | 15 | 0.8% |
| 7 | 4 | 0.2% |
| 8 | 2 | 0.1% |
| 9 | 2 | 0.1% |
| Value | Count | Frequency (%) |
| 9 | 2 | 0.1% |
| 8 | 2 | 0.1% |
| 7 | 4 | 0.2% |
| 6 | 15 | 0.8% |
| 5 | 22 | 1.2% |
| 4 | 52 | 2.8% |
| 3 | 114 | 6.2% |
| 2 | 260 | 14.2% |
| 1 | 667 | |
| 0 | 698 |
| Distinct | 15 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.273965142 |
| Minimum | 0 |
|---|---|
| Maximum | 20 |
| Zeros | 819 |
| Zeros (%) | 44.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 14.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 5 |
| Maximum | 20 |
| Range | 20 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.879937899 |
|---|---|
| Coefficient of variation (CV) | 1.475658821 |
| Kurtosis | 11.09279374 |
| Mean | 1.273965142 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 2.632929816 |
| Sum | 2339 |
| Variance | 3.534166503 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 0 | 819 | |
| 1 | 539 | |
| 2 | 171 | 9.3% |
| 4 | 103 | 5.6% |
| 3 | 83 | 4.5% |
| 5 | 53 | 2.9% |
| 6 | 24 | 1.3% |
| 8 | 18 | 1.0% |
| 7 | 9 | 0.5% |
| 9 | 9 | 0.5% |
| Other values (5) | 8 | 0.4% |
| Value | Count | Frequency (%) |
| 0 | 819 | |
| 1 | 539 | |
| 2 | 171 | 9.3% |
| 3 | 83 | 4.5% |
| 4 | 103 | 5.6% |
| 5 | 53 | 2.9% |
| 6 | 24 | 1.3% |
| 7 | 9 | 0.5% |
| 8 | 18 | 1.0% |
| 9 | 9 | 0.5% |
| Value | Count | Frequency (%) |
| 20 | 1 | 0.1% |
| 15 | 1 | 0.1% |
| 13 | 1 | 0.1% |
| 11 | 2 | 0.1% |
| 10 | 3 | 0.2% |
| 9 | 9 | 0.5% |
| 8 | 18 | 1.0% |
| 7 | 9 | 0.5% |
| 6 | 24 | |
| 5 | 53 |
| Distinct | 13 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.468409586 |
| Minimum | 0 |
|---|---|
| Maximum | 16 |
| Zeros | 511 |
| Zeros (%) | 27.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 14.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 5 |
| Maximum | 16 |
| Range | 16 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.615518704 |
|---|---|
| Coefficient of variation (CV) | 1.100182619 |
| Kurtosis | 8.760230291 |
| Mean | 1.468409586 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 2.272535728 |
| Sum | 2696 |
| Variance | 2.609900684 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 1 | 665 | |
| 0 | 511 | |
| 2 | 345 | |
| 3 | 147 | 8.0% |
| 4 | 72 | 3.9% |
| 5 | 39 | 2.1% |
| 6 | 26 | 1.4% |
| 7 | 15 | 0.8% |
| 8 | 5 | 0.3% |
| 10 | 4 | 0.2% |
| Other values (3) | 7 | 0.4% |
| Value | Count | Frequency (%) |
| 0 | 511 | |
| 1 | 665 | |
| 2 | 345 | |
| 3 | 147 | 8.0% |
| 4 | 72 | 3.9% |
| 5 | 39 | 2.1% |
| 6 | 26 | 1.4% |
| 7 | 15 | 0.8% |
| 8 | 5 | 0.3% |
| 9 | 3 | 0.2% |
| Value | Count | Frequency (%) |
| 16 | 1 | 0.1% |
| 11 | 3 | 0.2% |
| 10 | 4 | 0.2% |
| 9 | 3 | 0.2% |
| 8 | 5 | 0.3% |
| 7 | 15 | 0.8% |
| 6 | 26 | 1.4% |
| 5 | 39 | 2.1% |
| 4 | 72 | |
| 3 | 147 |
replies_count
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 196 |
|---|---|
| Distinct (%) | 10.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 34.74618736 |
| Minimum | 0 |
|---|---|
| Maximum | 1125 |
| Zeros | 50 |
| Zeros (%) | 2.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 14.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 6 |
| median | 15 |
| Q3 | 36 |
| 95-th percentile | 132 |
| Maximum | 1125 |
| Range | 1125 |
| Interquartile range (IQR) | 30 |
Descriptive statistics
| Standard deviation | 63.80391335 |
|---|---|
| Coefficient of variation (CV) | 1.836285308 |
| Kurtosis | 69.59140423 |
| Mean | 34.74618736 |
| Median Absolute Deviation (MAD) | 12 |
| Skewness | 6.321682872 |
| Sum | 63794 |
| Variance | 4070.939359 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 2 | 92 | 5.0% |
| 3 | 90 | 4.9% |
| 1 | 76 | 4.1% |
| 5 | 74 | 4.0% |
| 6 | 70 | 3.8% |
| 7 | 62 | 3.4% |
| 4 | 62 | 3.4% |
| 8 | 58 | 3.2% |
| 12 | 54 | 2.9% |
| 9 | 52 | 2.8% |
| Other values (186) | 1146 |
| Value | Count | Frequency (%) |
| 0 | 50 | |
| 1 | 76 | |
| 2 | 92 | |
| 3 | 90 | |
| 4 | 62 | |
| 5 | 74 | |
| 6 | 70 | |
| 7 | 62 | |
| 8 | 58 | |
| 9 | 52 |
| Value | Count | Frequency (%) |
| 1125 | 1 | |
| 811 | 1 | |
| 595 | 1 | |
| 503 | 1 | |
| 467 | 1 | |
| 436 | 1 | |
| 397 | 1 | |
| 385 | 1 | |
| 377 | 1 | |
| 367 | 1 |
retweets_count
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 552 |
|---|---|
| Distinct (%) | 30.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 209.5174292 |
| Minimum | 0 |
|---|---|
| Maximum | 7239 |
| Zeros | 28 |
| Zeros (%) | 1.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 14.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 7 |
| Q1 | 37 |
| median | 95 |
| Q3 | 230 |
| 95-th percentile | 754.25 |
| Maximum | 7239 |
| Range | 7239 |
| Interquartile range (IQR) | 193 |
Descriptive statistics
| Standard deviation | 388.355864 |
|---|---|
| Coefficient of variation (CV) | 1.853573068 |
| Kurtosis | 101.6679045 |
| Mean | 209.5174292 |
| Median Absolute Deviation (MAD) | 72 |
| Skewness | 7.678635788 |
| Sum | 384674 |
| Variance | 150820.2771 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 0 | 28 | 1.5% |
| 19 | 20 | 1.1% |
| 24 | 19 | 1.0% |
| 15 | 18 | 1.0% |
| 18 | 17 | 0.9% |
| 47 | 17 | 0.9% |
| 22 | 15 | 0.8% |
| 25 | 15 | 0.8% |
| 16 | 15 | 0.8% |
| 43 | 15 | 0.8% |
| Other values (542) | 1657 |
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 10 | 0.5% |
| 2 | 10 | 0.5% |
| 3 | 9 | 0.5% |
| 4 | 11 | 0.6% |
| 5 | 11 | 0.6% |
| 6 | 12 | |
| 7 | 12 | |
| 8 | 9 | 0.5% |
| 9 | 11 | 0.6% |
| Value | Count | Frequency (%) |
| 7239 | 1 | |
| 6343 | 1 | |
| 3042 | 1 | |
| 3001 | 1 | |
| 2979 | 1 | |
| 2636 | 1 | |
| 2532 | 1 | |
| 2520 | 1 | |
| 2422 | 1 | |
| 2352 | 1 |
| Distinct | 1088 |
|---|---|
| Distinct (%) | 59.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 904.9455338 |
| Minimum | 0 |
|---|---|
| Maximum | 16564 |
| Zeros | 4 |
| Zeros (%) | 0.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 14.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 38 |
| Q1 | 163.75 |
| median | 408.5 |
| Q3 | 976.25 |
| 95-th percentile | 3532.25 |
| Maximum | 16564 |
| Range | 16564 |
| Interquartile range (IQR) | 812.5 |
Descriptive statistics
| Standard deviation | 1529.980052 |
|---|---|
| Coefficient of variation (CV) | 1.690687445 |
| Kurtosis | 30.17048411 |
| Mean | 904.9455338 |
| Median Absolute Deviation (MAD) | 308.5 |
| Skewness | 4.658805838 |
| Sum | 1661480 |
| Variance | 2340838.961 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 98 | 8 | 0.4% |
| 135 | 8 | 0.4% |
| 172 | 7 | 0.4% |
| 66 | 7 | 0.4% |
| 111 | 7 | 0.4% |
| 1 | 6 | 0.3% |
| 204 | 6 | 0.3% |
| 323 | 6 | 0.3% |
| 775 | 6 | 0.3% |
| 15 | 6 | 0.3% |
| Other values (1078) | 1769 |
| Value | Count | Frequency (%) |
| 0 | 4 | |
| 1 | 6 | |
| 2 | 2 | 0.1% |
| 3 | 3 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 2 | 0.1% |
| 9 | 2 | 0.1% |
| 10 | 3 |
| Value | Count | Frequency (%) |
| 16564 | 1 | |
| 15906 | 1 | |
| 15064 | 1 | |
| 13983 | 1 | |
| 12699 | 1 | |
| 11637 | 1 | |
| 11532 | 1 | |
| 11324 | 1 | |
| 11237 | 1 | |
| 11200 | 1 |
number of tweets
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 21 |
|---|---|
| Distinct (%) | 1.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.575708061 |
| Minimum | 1 |
|---|---|
| Maximum | 31 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 14.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 2 |
| Q3 | 3 |
| 95-th percentile | 7 |
| Maximum | 31 |
| Range | 30 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 2.333090544 |
|---|---|
| Coefficient of variation (CV) | 0.9058055063 |
| Kurtosis | 22.42709342 |
| Mean | 2.575708061 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 3.495708836 |
| Sum | 4729 |
| Variance | 5.443311487 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 1 | 749 | |
| 2 | 441 | |
| 3 | 258 | 14.1% |
| 4 | 147 | 8.0% |
| 5 | 80 | 4.4% |
| 6 | 57 | 3.1% |
| 7 | 36 | 2.0% |
| 8 | 20 | 1.1% |
| 10 | 12 | 0.7% |
| 9 | 10 | 0.5% |
| Other values (11) | 26 | 1.4% |
| Value | Count | Frequency (%) |
| 1 | 749 | |
| 2 | 441 | |
| 3 | 258 | 14.1% |
| 4 | 147 | 8.0% |
| 5 | 80 | 4.4% |
| 6 | 57 | 3.1% |
| 7 | 36 | 2.0% |
| 8 | 20 | 1.1% |
| 9 | 10 | 0.5% |
| 10 | 12 | 0.7% |
| Value | Count | Frequency (%) |
| 31 | 1 | 0.1% |
| 22 | 1 | 0.1% |
| 21 | 1 | 0.1% |
| 19 | 1 | 0.1% |
| 18 | 1 | 0.1% |
| 16 | 2 | 0.1% |
| 15 | 2 | 0.1% |
| 14 | 1 | 0.1% |
| 13 | 2 | 0.1% |
| 12 | 5 |
price
Real number (ℝ≥0)
| Distinct | 1731 |
|---|---|
| Distinct (%) | 94.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 145.58811 |
| Minimum | 66.58999634 |
|---|---|
| Maximum | 283.4700012 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 14.5 KiB |
Quantile statistics
| Minimum | 66.58999634 |
|---|---|
| 5-th percentile | 73.73000145 |
| Q1 | 100.6999969 |
| median | 146.5650024 |
| Q3 | 172.5175018 |
| 95-th percentile | 246.1331234 |
| Maximum | 283.4700012 |
| Range | 216.8800049 |
| Interquartile range (IQR) | 71.81750488 |
Descriptive statistics
| Standard deviation | 51.71778934 |
|---|---|
| Coefficient of variation (CV) | 0.3552336062 |
| Kurtosis | -0.5424760603 |
| Mean | 145.58811 |
| Median Absolute Deviation (MAD) | 39.43250275 |
| Skewness | 0.4728657302 |
| Sum | 267299.77 |
| Variance | 2674.729734 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 100.6999969 | 4 | 0.2% |
| 154.5700073 | 3 | 0.2% |
| 162 | 3 | 0.2% |
| 224.8999939 | 3 | 0.2% |
| 83.55999756 | 3 | 0.2% |
| 160 | 3 | 0.2% |
| 270 | 3 | 0.2% |
| 94.94000244 | 3 | 0.2% |
| 158.7599945 | 2 | 0.1% |
| 83.94999695 | 2 | 0.1% |
| Other values (1721) | 1807 |
| Value | Count | Frequency (%) |
| 66.58999634 | 1 | |
| 68.20999908 | 1 | |
| 68.256663 | 1 | |
| 68.41000366 | 1 | |
| 68.41999817 | 1 | |
| 68.45999908 | 1 | |
| 69.15000153 | 1 | |
| 69.29000092 | 1 | |
| 69.32500076 | 1 | |
| 69.34250069 | 1 |
| Value | Count | Frequency (%) |
| 283.4700012 | 1 | 0.1% |
| 276.3200073 | 1 | 0.1% |
| 272.6499939 | 1 | 0.1% |
| 272.1333313 | 1 | 0.1% |
| 271 | 1 | 0.1% |
| 270.8533325 | 1 | 0.1% |
| 270.5799866 | 1 | 0.1% |
| 270.4266663 | 1 | 0.1% |
| 270 | 3 | |
| 267.6333313 | 1 | 0.1% |
| Distinct | 1818 |
|---|---|
| Distinct (%) | 99.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.0004603068847 |
| Minimum | -0.06618367407 |
|---|---|
| Maximum | 0.1662115397 |
| Zeros | 19 |
| Zeros (%) | 1.0% |
| Negative | 842 |
| Negative (%) | 45.9% |
| Memory size | 14.5 KiB |
Quantile statistics
| Minimum | -0.06618367407 |
|---|---|
| 5-th percentile | -0.02267109011 |
| Q1 | -0.004871081758 |
| median | 0.0006092832829 |
| Q3 | 0.006504909175 |
| 95-th percentile | 0.02115178706 |
| Maximum | 0.1662115397 |
| Range | 0.2323952138 |
| Interquartile range (IQR) | 0.01137599093 |
Descriptive statistics
| Standard deviation | 0.01429250023 |
|---|---|
| Coefficient of variation (CV) | 31.049938 |
| Kurtosis | 14.01655829 |
| Mean | 0.0004603068847 |
| Median Absolute Deviation (MAD) | 0.005703514756 |
| Skewness | 0.7037985043 |
| Sum | 0.8451234403 |
| Variance | 0.0002042755628 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 0 | 19 | 1.0% |
| 0.009074050221 | 1 | 0.1% |
| 0.001955556865 | 1 | 0.1% |
| 0.00534493515 | 1 | 0.1% |
| -0.007499973948 | 1 | 0.1% |
| 0.006649584941 | 1 | 0.1% |
| -0.006039994213 | 1 | 0.1% |
| -0.004578350826 | 1 | 0.1% |
| 0.003696632611 | 1 | 0.1% |
| 0.00410915766 | 1 | 0.1% |
| Other values (1808) | 1808 |
| Value | Count | Frequency (%) |
| -0.06618367407 | 1 | |
| -0.06582162712 | 1 | |
| -0.06575516874 | 1 | |
| -0.06411861737 | 1 | |
| -0.06085637252 | 1 | |
| -0.05900001526 | 1 | |
| -0.05830001831 | 1 | |
| -0.05643277959 | 1 | |
| -0.05619250806 | 1 | |
| -0.05520205096 | 1 |
| Value | Count | Frequency (%) |
| 0.1662115397 | 1 | |
| 0.08577696984 | 1 | |
| 0.06629919818 | 1 | |
| 0.06381537442 | 1 | |
| 0.06316242346 | 1 | |
| 0.06229685544 | 1 | |
| 0.06151081332 | 1 | |
| 0.0592923849 | 1 | |
| 0.05825238876 | 1 | |
| 0.0540086248 | 1 |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 KiB |
| no change | |
|---|---|
| rise | |
| drop |
Length
| Max length | 9 |
|---|---|
| Median length | 9 |
| Mean length | 8.046840959 |
| Min length | 4 |
Characters and Unicode
| Total characters | 14774 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | no change |
|---|---|
| 2nd row | no change |
| 3rd row | no change |
| 4th row | no change |
| 5th row | no change |
Common Values
| Value | Count | Frequency (%) |
| no change | 1486 | |
| rise | 178 | 9.7% |
| drop | 172 | 9.4% |
Length
Pie chart
| Value | Count | Frequency (%) |
| no | 1486 | |
| change | 1486 | |
| rise | 178 | 5.4% |
| drop | 172 | 5.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| n | 2972 | |
| e | 1664 | |
| o | 1658 | |
| 1486 | ||
| c | 1486 | |
| h | 1486 | |
| a | 1486 | |
| g | 1486 | |
| r | 350 | 2.4% |
| i | 178 | 1.2% |
| Other values (3) | 522 | 3.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 13288 | |
| Space Separator | 1486 | 10.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 2972 | |
| e | 1664 | |
| o | 1658 | |
| c | 1486 | |
| h | 1486 | |
| a | 1486 | |
| g | 1486 | |
| r | 350 | 2.6% |
| i | 178 | 1.3% |
| s | 178 | 1.3% |
| Other values (2) | 344 | 2.6% |
Space Separator
| Value | Count | Frequency (%) |
| 1486 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 13288 | |
| Common | 1486 | 10.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| n | 2972 | |
| e | 1664 | |
| o | 1658 | |
| c | 1486 | |
| h | 1486 | |
| a | 1486 | |
| g | 1486 | |
| r | 350 | 2.6% |
| i | 178 | 1.3% |
| s | 178 | 1.3% |
| Other values (2) | 344 | 2.6% |
Common
| Value | Count | Frequency (%) |
| 1486 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 14774 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| n | 2972 | |
| e | 1664 | |
| o | 1658 | |
| 1486 | ||
| c | 1486 | |
| h | 1486 | |
| a | 1486 | |
| g | 1486 | |
| r | 350 | 2.4% |
| i | 178 | 1.2% |
| Other values (3) | 522 | 3.5% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.First rows
| date | tweet | username | mentions | hashtags | cashtags | video | photos | urls | replies_count | retweets_count | likes_count | number of tweets | price | percent change | bins | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2016-08-23 09:30:00 | All docs, code, & packing of the Atari games I wrote at 16 &17 to put myself through @USC! https://t.co/dNVx6vtTwr https://t.co/O7vXYPWX1O | Benioff | 1 | 0 | 0 | 1 | 4 | 1 | 12 | 34 | 160 | 1 | 77.820000 | 0.000000 | no change |
| 1 | 2016-08-24 09:30:00 | Congratulations @Salesforce 6 years as one of The World's Most Innovative Companies - Forbes - This year #2! https://t.co/YvyXpclp7B Incredible to be at @plumvillageom. Such a magical place. https://t.co/evqaDhPDHA Wonderful to be with Zen Master @thichnhathanh in @plumvillageom --incredible rebirth of health strength & energy. https://t.co/SPvrJjbdPU Thank you @alexrkonrad Welcome Salesforce Einstein---1st comprehensive AI platform for CRM. https://t.co/MrUk3m4SlV https://t.co/4qz6CXphOn All of my thoughts and prayers are with the people of Italy. May all the residents be protected and safe. Gd Bless. https://t.co/hefc0Fllng To all the friends of @thichnhathanh: I met with the venerable mindfulness teacher today and he was as strong & capable as I have seen him. Salesforce has issued its stakeholder report. We need feedback from all stakeholders on how to move forward. https://t.co/1MOiSl7Jml | Benioff | 6 | 0 | 0 | 4 | 7 | 3 | 28 | 464 | 1159 | 7 | 78.000000 | -0.000256 | no change |
| 2 | 2016-08-26 09:30:00 | "Would it be such a bad thing if doing business to change the world became the new normal?" @PledgeOne https://t.co/X2ZN72WdGU Thank you @greentechlady for writing in @FortuneMagazine on @PledgeOne and our 1-1-1 model. https://t.co/kgF8C6TU8R Wonderful to take three days of mindfulness with @thichnhathanh and the monastics at @plumvillageom. Coming home. https://t.co/LyiY521IxZ Thank you @greentechlady and @FortuneMagazine for introducing Salesforce Einstein. https://t.co/tr4V0Dd3fq Thank you @POTUS @McCauley_Lab @SenBrianSchatz @OceanElders for expanding #Papahanaumokuakea! https://t.co/EJAKhANQhq Mahalo Malama Aina! | Benioff | 12 | 1 | 0 | 1 | 1 | 4 | 11 | 102 | 301 | 5 | 80.389999 | 0.002869 | no change |
| 3 | 2016-08-26 16:00:00 | Thank you @Lilly_Ledbetter! https://t.co/expO7Ti9RQ #WomensEqualityDay Thank you @PattyArquette! | Benioff | 2 | 1 | 0 | 0 | 0 | 1 | 9 | 36 | 79 | 1 | 80.029999 | -0.004478 | no change |
| 4 | 2016-08-27 09:30:00 | Wake up call from @PMaurerICRC ceo @ICRC now 65M refugees/24 new refugees every minute. How can we help them? https://t.co/OQAgzJKJau Very excited to get to @Dreamforce and reveal our vision for Einstein---our trusted comprehensive AI platform. https://t.co/ndUhNN9xxx | Benioff | 3 | 0 | 0 | 1 | 1 | 1 | 12 | 77 | 183 | 2 | 80.329999 | 0.003749 | no change |
| 5 | 2016-08-28 09:30:00 | @s_scally https://t.co/owHDTlfoJH @codyrigsby what song was at the end of the ride this am it was a synthetic version of "remind me of someone I used to know" in last 5 mins Salesforce Einstein is Artitificial Intelligence for Everyone. Coming @Dreamforce. https://t.co/3vCLZdbdlX | Benioff | 2 | 0 | 0 | 2 | 2 | 0 | 14 | 255 | 323 | 3 | 80.269999 | 0.003459 | no change |
| 6 | 2016-08-30 09:30:00 | So sad Gene Wilder has passed on--one of my favorite actors of all time. Thank you @ConanOBrien for this interview. https://t.co/b6ky8uWnbs | Benioff | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 24 | 131 | 1 | 80.000000 | 0.001001 | no change |
| 7 | 2016-08-31 16:00:00 | Waiting @iamplusofficial @iamwill @bep new video #WHEREISTHELOVE tonight. Lets get Will to come back to @Dreamforce? https://t.co/8yyXyVM3mz | Benioff | 4 | 1 | 0 | 1 | 1 | 0 | 0 | 7 | 44 | 1 | 79.419998 | -0.007374 | no change |
| 8 | 2016-09-01 09:30:00 | Congratulations @iamwill! https://t.co/TTI0ecJe2F Thank you @jimcramer allowing us to announce our first $2B quarter! No other top 10 SW company is growing faster! https://t.co/12ySaosm3f Congratulations Salesforce on achieving your first $2B quarter! No other top 10 software company is growing faster! https://t.co/CaldjRMF4h This video is a glimpse into salesforce's Q2 FY17 results announced today and all of our journeys this quarter. https://t.co/VyeJL6dnt0 Congratulations Salesforce on achieving your first $2B quarter! No other top 10 software company is growing faster! https://t.co/ulIZtjs6Of | Benioff | 2 | 0 | 0 | 3 | 4 | 2 | 25 | 623 | 1162 | 5 | 75.449997 | -0.049987 | drop |
| 9 | 2016-09-01 16:00:00 | Great to be in Oakland with all the kids at Frick Middle School with @LibbySchaaf @mayoredlee @SFUSD_Supe. https://t.co/hbf7rVltur Thank you @LibbySchaaf for giving us the leadership to once again invest in the children of Oakland. https://t.co/DTeBoxGE9w The change in education that we all want starts with us and our own personal actions in our local public schools. https://t.co/UvXJfZCiWL Excited to expand our @SalesforceOrg public school program to include Oakland as well as SF. @OUSDNews @SFUnified https://t.co/0H7mrFVBVM | Benioff | 7 | 0 | 0 | 1 | 0 | 3 | 15 | 108 | 247 | 4 | 75.910004 | 0.006097 | no change |
Last rows
| date | tweet | username | mentions | hashtags | cashtags | video | photos | urls | replies_count | retweets_count | likes_count | number of tweets | price | percent change | bins | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1826 | 2021-05-20 16:00:00 | Congrats Jane! ❤️🌲 | Benioff | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 27 | 247 | 1 | 223.779999 | 0.003588 | no change |
| 1827 | 2021-05-21 09:30:00 | People expect corporations and CEOs to continue addressing the most pressing social and political issues even after the pandemic is over, according to new data. https://t.co/SwpZZKClVf Congrats Jane! Renowned conservationist Jane Goodall has been named as this year’s winner of the prestigious @TempletonPrize, honoring individuals whose life’s work embodies a fusion of science and spirituality. ❤️🌲 READ MORE: https://t.co/3qa0SWPxXY… https://t.co/t3wz9ZWAyo | Benioff | 1 | 0 | 0 | 1 | 1 | 2 | 20 | 37 | 480 | 2 | 225.210007 | 0.006390 | no change |
| 1828 | 2021-05-23 09:30:00 | Our 2nd relief aircraft on its way to India! @Salesforce and @vkhosla partnered with @GiveIndia to deliver this 2nd plane of much needed oxygen concentrators. Our hearts continue to be with our brothers & sisters in India. May they all be protected, healed, & blessed! ❤️🇮🇳🙏 https://t.co/eh6JPuz4x1 When former prime minister Indira Gandhi was asked about Bahuguna's movement, she said: "Well, frankly, I don't know all the aims of the movement. But if it is that trees should not be cut, I'm all for it." ❤️🌲 @1t_org https://t.co/xHuFA9k2xl Salesforce is already a Net Zero company. Now, Salesforce & Accenture are showing our customers how to become Net Zero & leaders using our Sustainability Cloud. Why? Because customers want it & employees rally around it. Join us — put Sustainability first: https://t.co/9ZtoFQGWF7 https://t.co/Ubdhp422UM | Benioff | 4 | 0 | 0 | 2 | 4 | 2 | 100 | 526 | 4126 | 3 | 225.070002 | 0.004553 | no change |
| 1829 | 2021-05-24 09:30:00 | Where is the Love? Anti-Semitism. Anti-Palestinian. Anti-Asian. Anti-Muslim. Anti-Armenian. Anti-Black. Anti-LGBTQ. Anti-Christian. Anti-Latino. Anti-Jew. Anti-Arab. All are Anti-Love. How do we Love thy neighbor as thyself? May the One that brings Love bring Love to All. ❤️ https://t.co/qkl54ApayH Already weakened health systems across Yemen have been even further devastated by the impact of the COVID pandemic. 16.2M people in the country will face high levels of acute food shortages with an estimated 21,000 children at risk of falling into famine. https://t.co/GEbndOG6bN | Benioff | 0 | 0 | 0 | 1 | 1 | 1 | 55 | 149 | 877 | 2 | 225.000000 | -0.002306 | no change |
| 1830 | 2021-05-25 09:30:00 | Our 2nd relief aircraft has landed in India! @Salesforce & @vkhosla partnered with @GiveIndia to deliver a plane of much needed oxygen concentrators. Our hearts are with our brothers & sisters in India. May they all be protected, healed, & blessed! ❤️🇮🇳🙏 https://t.co/tuXX9Nm3TU | Benioff | 3 | 0 | 0 | 0 | 0 | 1 | 22 | 104 | 843 | 1 | 228.000000 | 0.004450 | no change |
| 1831 | 2021-05-25 16:00:00 | For me, meditation and leadership go hand-in-hand. On the newest episode of the "What I've Learned" podcast with @ariannahuff, I open up about how that connection is helping me shape a post-pandemic future: https://t.co/mH5NnkaZWR https://t.co/cnlwCYyG9T @harryhurst @SFDCTowerUK | Benioff | 2 | 0 | 0 | 1 | 1 | 1 | 6 | 38 | 223 | 2 | 227.710007 | -0.001272 | no change |
| 1832 | 2021-05-26 09:30:00 | Welcome back London Ohana! ❤️🇬🇧 Last nights moon was so inspiring. From WSJ today: A ‘super blue blood moon’ in San Francisco, in 2018. A blood moon is when light filtered through Earth’s atmosphere during an eclipse turns the moon a rusty, reddish hue. PHOTO: JOSH EDELSON/AGENCE FRANCE-PRESSE/GETTY IMAGES https://t.co/HuHwwDrluo | Benioff | 0 | 0 | 0 | 1 | 1 | 0 | 4 | 48 | 491 | 2 | 228.479996 | 0.003381 | no change |
| 1833 | 2021-05-26 16:00:00 | Congrats @zackparisa @MaxNova90! “Microsoft, which bought more than $3 million worth of the resulting carbon offsets, helped @NCX map U.S. forest data, such as tree species and wood volume, using satellite imagery and computers.” https://t.co/m152NgplGX | Benioff | 3 | 0 | 0 | 0 | 0 | 1 | 7 | 18 | 97 | 1 | 229.679993 | 0.005252 | no change |
| 1834 | 2021-05-27 16:00:00 | Our 2nd relief aircraft has landed in India & contents delivered to @giveindia! @Salesforce & @vkhosla landed the plane of much needed oxygen concentrators & oximeters. Our hearts are with our brothers & sisters in India. May they all be protected, healed, & blessed! ❤️🇮🇳🙏 https://t.co/FqAoplDwz5 | Benioff | 3 | 0 | 0 | 1 | 0 | 0 | 34 | 104 | 866 | 1 | 225.830002 | -0.016077 | drop |
| 1835 | 2021-05-28 09:30:00 | Wonderful to be on @MadMoneyOnCNBC tonight announcing our record Q1 results. https://t.co/anwxjChHdB It’s happening! @Dreamforce ❤️ https://t.co/7VMP975nwv Here comes Dreamforce 2021! In person! All of our announcements today on @MadMoneyOnCNBC with @jimcramer tonight! 👍 https://t.co/anwxjChHdB Salesforce Growth: 2022 $26B (guidance) 2021 $21.25B 2020 $17.1B 2019 $13.2B 2018 $10.5B 2017 $8.4B 2016 $6.7B 2015 $5.4B 2014 $4.1B Thank you Ohana! ❤️ From 1st Earnings Call Inside. (We’re all vaccinated!) https://t.co/DQAwBNHm2A | Benioff | 4 | 0 | 0 | 1 | 1 | 3 | 128 | 407 | 4397 | 4 | 239.220001 | 0.059292 | rise |